Paul Groth

Paul Groth is a Professor of Algorithmic Data Science at the University of Amsterdam, where he leads the Intelligent Data Engineering Lab (INDElab). He earned his Ph.D. in Computer Science from the University of Southampton (2007) and has conducted research at institutions including the University of Southern California, Vrije Universiteit Amsterdam, and Elsevier Labs.

Research Interests: His work centers on intelligent systems for managing large-scale, diverse contextualized knowledge, particularly in web and science applications. Key areas include data provenance, data integration, knowledge sharing, and semantic web technologies. He has contributed to standards like the W3C Provenance Interchange (PROV) and community initiatives such as altmetrics and FAIR data principles.

Leadership Roles:

• Scientific Director of the University of Amsterdam’s Data Science Center
• Co-Scientific Director of two Innovation Center for Artificial Intelligence (ICAI) labs:
  • AI for Retail (AIR) Lab (UvA-Ahold Delhaize collaboration)
  • Discovery Lab (Elsevier-UvA-VU collaboration)

Contributions: Previously led large-scale data integration projects in biomedicine, co-chaired the W3C Provenance Working Group, and co-authored foundational texts like "Provenance: an Introduction to PROV" and "The Semantic Web Primer: 3rd Edition".